Neurological diseases, such as cognitive impairment and stroke, represent a growing global health concern, especially in aging populations. These disorders significantly reduce quality of life, contribute heavily to disability-adjusted life years (DALYs), and place an immense burden on healthcare systems worldwide. In addition to primary neurological conditions, comorbid psychiatric symptoms-such as depression and anxiety-frequently coexist, further complicating disease progression and management.
Recent advancements in high-throughput sequencing technologies and systems biology approaches have enabled multi-omics investigations into complex diseases. By integrating genomics, transcriptomics, epigenomics, metabolomics, and proteomics data, researchers can identify molecular networks and pathways that contribute to neuropsychiatric disorders.
The objective of this project is to conduct a multi-omics analysis of the neuropsychiatric system to identify biomarkers, biological pathways, and therapeutic targets associated with various mental health conditions. Key research questions include: 1. What molecular signatures are consistently associated with major neuropsychiatric disorders? 2. How do genomic and epigenomic variations influence transcriptomic and metabolic changes in the brain? 3. Can we identify novel therapeutic targets or predictive biomarkers using systems biology approaches?
This integrative research will leverage multi-omics datasets to build predictive models of disease, investigate potential causal pathways, and propose mechanisms for comorbidity among mental health disorders. The study aims to improve understanding of disease etiology, enhance early diagnostic accuracy, and facilitate the development of targeted therapeutic interventions.
